{"id":"https://openalex.org/W4409426153","doi":"https://doi.org/10.1109/tgrs.2025.3560391","title":"Spectral-Temporal\u2013Spatial Feature Optimization for <i>Dioscorea Polystachya</i> Turczaninow Classification Using Time Series Sentinel-2 Data","display_name":"Spectral-Temporal\u2013Spatial Feature Optimization for <i>Dioscorea Polystachya</i> Turczaninow Classification Using Time Series Sentinel-2 Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409426153","doi":"https://doi.org/10.1109/tgrs.2025.3560391"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3560391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3560391","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038402341","display_name":"Zhulin Chen","orcid":"https://orcid.org/0000-0002-1272-2532"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhulin Chen","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1272-2532","affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051857611","display_name":"Tingting Shi","orcid":"https://orcid.org/0000-0003-2073-5138"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Shi","raw_affiliation_strings":["State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029107736","display_name":"Haiying Jiang","orcid":"https://orcid.org/0000-0001-8160-9480"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiying Jiang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8160-9480","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101928611","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0002-7753-4735"},"institutions":[{"id":"https://openalex.org/I4210156332","display_name":"Chinese Research Academy of Environmental Sciences","ror":"https://ror.org/05t8xvx87","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210156332"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Chinese Research Academy of Environmental Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Research Academy of Environmental Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110964578","display_name":"Yuran Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuran Cui","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019461895","display_name":"Shijiao Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijiao Qiao","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-8638-4901","affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063493372","display_name":"Kun Jia","orcid":"https://orcid.org/0000-0001-8586-4243"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Jia","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8586-4243","affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4086,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52097113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5651156902313232},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5637551546096802},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5374366044998169},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5270314812660217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4850706160068512},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46443256735801697},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4368841052055359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38589999079704285},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1649247705936432},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13200271129608154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651156902313232},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5637551546096802},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5374366044998169},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5270314812660217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4850706160068512},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46443256735801697},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4368841052055359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1649247705936432},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13200271129608154},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3560391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3560391","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1921174079","display_name":null,"funder_award_id":"82003901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5988025463","display_name":null,"funder_award_id":"CI2021A03902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6340668010","display_name":null,"funder_award_id":"42192581","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6718446414","display_name":null,"funder_award_id":"CICI2021B013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8665148117","display_name":null,"funder_award_id":"32401581","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1894641570","https://openalex.org/W1952261593","https://openalex.org/W1964217023","https://openalex.org/W1985555755","https://openalex.org/W2025745000","https://openalex.org/W2056435747","https://openalex.org/W2093378913","https://openalex.org/W2113388748","https://openalex.org/W2125325727","https://openalex.org/W2159961845","https://openalex.org/W2728388975","https://openalex.org/W2898446904","https://openalex.org/W2900436152","https://openalex.org/W2907047183","https://openalex.org/W2943595298","https://openalex.org/W2969945043","https://openalex.org/W2972321769","https://openalex.org/W2977142280","https://openalex.org/W2991488782","https://openalex.org/W2993134750","https://openalex.org/W3003266520","https://openalex.org/W3012400249","https://openalex.org/W3015626493","https://openalex.org/W3022592629","https://openalex.org/W3023454035","https://openalex.org/W3024527458","https://openalex.org/W3027311362","https://openalex.org/W3042824180","https://openalex.org/W3087709114","https://openalex.org/W3088885014","https://openalex.org/W3089208575","https://openalex.org/W3107030229","https://openalex.org/W3128836930","https://openalex.org/W3139236016","https://openalex.org/W3163755067","https://openalex.org/W3174199809","https://openalex.org/W3177435843","https://openalex.org/W3183470088","https://openalex.org/W3191161603","https://openalex.org/W4200208778","https://openalex.org/W4221087922","https://openalex.org/W4312234829","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2121524756","https://openalex.org/W4390822878","https://openalex.org/W4246257243","https://openalex.org/W782553550","https://openalex.org/W96888382","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Dioscorea":[0],"PolystachyaTurczaninow":[1,36,96,154,189],"is":[2,14,21],"one":[3],"of":[4,16,192,222],"the":[5,72,110,125,132,141,148,152,167,181,184,202,217,220],"most":[6,73],"famous":[7],"traditional":[8],"Chinese":[9],"Materia":[10],"Medica.":[11],"However,":[12],"there":[13],"lack":[15],"large-scale":[17],"classification":[18,37,51,155,185],"method":[19,214],"which":[20,194],"crucial":[22,173],"for":[23,228],"its":[24],"growth":[25],"status":[26],"monitoring":[27],"and":[28,60,92,140,210,225],"yield":[29],"estimation.":[30],"This":[31,207],"study":[32],"proposed":[33],"a":[34,120,172],"reliableDioscorea":[35],"model":[38,156,186],"based":[39,78],"on":[40,79],"spectral-temporal-spatial":[41],"feature":[42,66,127,150,212],"optimization":[43,67,128,213],"using":[44,55,131,180,201],"time-series":[45,81,122],"Sentinel-2":[46,80,145,163],"data.":[47,146,206],"Firstly,":[48],"16":[49],"mono-temporal":[50,99],"models":[52],"were":[53,104],"developed":[54],"five":[56],"vegetation":[57,84],"indices":[58],"(VIs)":[59],"random":[61],"forest":[62],"algorithm.":[63],"Then,":[64],"temporal":[65,209],"was":[68,129,157],"conducted":[69,130],"by":[70,106,196],"identifying":[71],"effective":[74],"time":[75,116,143,203],"phase":[76],"combinations":[77],"normalized":[82],"difference":[83],"index":[85],"(NDVI)":[86],"data,":[87],"gaussian":[88],"mixture":[89],"modeling":[90],"algorithm":[91,139],"F1":[93,190],"score":[94,191],"ofDioscorea":[95],"in":[97,175],"each":[98,115],"model.":[100],"Next,":[101],"spectral":[102],"features":[103],"optimized":[105,182],"replacing":[107],"NDVI":[108,205],"with":[109],"optimal":[111],"VI":[112],"corresponding":[113],"to":[114,199,219],"phase,":[117],"thus":[118],"constructing":[119],"multi-VIs-based":[121,142],"dataset.":[123],"Finally,":[124],"spatial":[126,211],"three-dimensional":[133],"convolutional":[134],"neural":[135],"network":[136],"(3-D":[137],"CNN)":[138],"series":[144,204],"Following":[147],"comprehensive":[149],"optimization,":[151],"finalDioscorea":[153],"determined.":[158],"The":[159],"results":[160],"found":[161],"that":[162],"data":[164],"acquired":[165],"during":[166],"rhizome":[168],"enlargement":[169],"stage":[170],"played":[171],"role":[174],"classifying":[176],"theDioscorea":[177,188],"PolystachyaTurczaninow.":[178],"By":[179],"features,":[183],"achieved":[187],"95.00%,":[193],"improved":[195],"11.49%":[197],"compared":[198],"only":[200],"spectral,":[208],"also":[215],"has":[216],"potential":[218],"development":[221],"large-scale,":[223],"dynamic,":[224],"accurate":[226],"mapping":[227],"other":[229],"crops.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}